OpenML
8290278

Run 8290278

Task 145972 (Supervised Classification) credit-g Uploaded 28-10-2017 by OpenML_Bot R
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Flow

mlr.classif.kknn(10)Learner mlr.classif.kknn from package(s) !kknn.
mlr.classif.kknn(10)_k27
mlr.classif.kknn(10)_openml.seed1
mlr.classif.kknn(10)_openml.kindMersenne-Twister
mlr.classif.kknn(10)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.7606
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7043
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2654
Cross-validation details (10-fold Crossvalidation)
KB relative information score
197.8586
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3335
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7266
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.742
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.742
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7937
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4167
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9092
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1739.9351
UserCPU time millis
0.454
UserCPU time millis testing
0.444
UserCPU time millis training
0.01